本文關(guān)鍵詞： 分布式發(fā)電 配電網(wǎng)規(guī)劃 多目標(biāo)優(yōu)化 粒子群算法　出處：《山東大學(xué)》2008年碩士論文　論文類型：學(xué)位論文

【摘要】： 分布式發(fā)電(DG)技術(shù)是近幾年興起的一種新型發(fā)電技術(shù),它能充分利用可再生潔凈新能源,投資節(jié)省,與環(huán)境兼容靈活高效地進行發(fā)電。分布式發(fā)電已經(jīng)被世界各國所重視,將成為電力系統(tǒng)供電總量中重要的組成部分。因此對分布式發(fā)電技術(shù)進行研究有著重大的理論價值和現(xiàn)實意義。 隨著負荷增長和分布式電源大量接入配電網(wǎng),研究計及分布式發(fā)電的配電網(wǎng)規(guī)劃成為重要課題。配電網(wǎng)規(guī)劃是一個多變量、多約束的混合非線性規(guī)劃問題,其優(yōu)化過程十分復(fù)雜。針對配電網(wǎng)規(guī)劃和分布式發(fā)電的特點,本文提出了應(yīng)用粒子群算法(PSO)進行計及分布式發(fā)電的配電網(wǎng)規(guī)劃。本文就這一課題展開,通過粒子群算法解決計及分布式發(fā)電規(guī)劃中的多目標(biāo)問題。 本文首先介紹了分布式發(fā)電的分類以及其對電力系統(tǒng)造成的影響。這些影響包括:分布式發(fā)電對電力系統(tǒng)安全和可靠性、電能質(zhì)量、繼電保護、網(wǎng)損等方面。分布式電源的嵌入打破了傳統(tǒng)電力系統(tǒng)的格局,原有的配電網(wǎng)規(guī)劃方法在計及分布式發(fā)電后不能很好地發(fā)揮作用。本文介紹了配電網(wǎng)規(guī)劃的一般思路和簡要步驟,并通過配電網(wǎng)擴展規(guī)劃和計及分布式發(fā)電后的規(guī)劃方法循序漸進地進行了研究。 無論是在自然學(xué)科領(lǐng)域還是在社會學(xué)科領(lǐng)域,以最小的成本獲取最大的效益,始終是人類追求的目標(biāo)。最小化成本的同時最大化效益,將這一對矛盾的兩個方面同時考慮,就構(gòu)成了一個典型的多目標(biāo)優(yōu)化問題。本文對多目標(biāo)問題的產(chǎn)生背景,粒子群算法的基本概念、數(shù)學(xué)模型以及算法步驟、應(yīng)用領(lǐng)域等進行了簡單介紹。本文通過對粒子群優(yōu)化算法的深入研究,進一步擴展了該算法的應(yīng)用領(lǐng)域,為解決多目標(biāo)優(yōu)化問題提供了新的理論依據(jù)和高效的解決方案。 本文建立了以網(wǎng)損最小、分布式電源運行成本最小、分布式電源安裝容量最大為子目標(biāo)的計及分布式發(fā)電的配電網(wǎng)規(guī)劃多目標(biāo)優(yōu)化模型。對于多目標(biāo)優(yōu)化模型,本文通過不同量綱函數(shù)的歸一化加權(quán),把多目標(biāo)優(yōu)化問題轉(zhuǎn)化為單目標(biāo)優(yōu)化求解。 最后,介紹了粒子群優(yōu)化算法在一個實際配電網(wǎng)規(guī)劃的具體應(yīng)用實現(xiàn),并進行了仿真計算。運算結(jié)果顯示了該算法應(yīng)用于這一領(lǐng)域的可行性和有效性。通過粒子群算法進行多目標(biāo)問題的優(yōu)化計算,并對不含有和含有分布式電源的配電網(wǎng)規(guī)劃結(jié)果作了比較分析。算例結(jié)果表明,引入分布式電源后對配電網(wǎng)優(yōu)化帶來了一定的合理性和優(yōu)越性。也從一個側(cè)面印證了分布式發(fā)電技術(shù)進入電力系統(tǒng)后會帶來較有利的影響,同時也印證了分布式發(fā)電技術(shù)有著廣闊的應(yīng)用前景。
[Abstract]:Distributed power generation (DG) technology is a new generation technology developed in recent years. It can make full use of renewable and clean new energy and save investment. Distributed generation has been paid more attention to by many countries all over the world. It will become an important part of the total power supply in power system, so it is of great theoretical value and practical significance to study the distributed generation technology. With the increase of load and the large amount of distributed generation connected to the distribution network, it becomes an important topic to study the distribution network planning, which is a multi-variable, multi-constraint hybrid nonlinear planning problem. The optimization process is very complex. According to the characteristics of distribution network planning and distributed generation, a particle swarm optimization algorithm (PSO) is proposed to plan the distribution network with distributed generation. Particle swarm optimization (PSO) is used to solve the multi-objective problem in distributed generation planning. This paper first introduces the classification of distributed generation and its impact on the power system, including: distributed generation on the security and reliability of the power system, power quality, relay protection. The embedding of distributed power supply breaks the pattern of traditional power system. The original distribution network planning method can not play a good role in the consideration of distributed generation. This paper introduces the general ideas and brief steps of distribution network planning. The distribution network expansion planning and the planning method after considering distributed generation are studied step by step. Whether in the field of natural science or in the field of social sciences, it is always the goal that human beings pursue to obtain the maximum benefit with the minimum cost, while minimizing the cost and maximizing the benefit at the same time. A typical multi-objective optimization problem is formed by considering the two aspects of the contradiction at the same time. In this paper, the background of the multi-objective problem, the basic concept of particle swarm optimization algorithm, the mathematical model and the steps of the algorithm are discussed. The application fields are briefly introduced. The application field of PSO is further expanded by the in-depth study of PSO. It provides a new theoretical basis and an efficient solution for solving multi-objective optimization problems. In this paper, the network loss is minimum and the operation cost of distributed power is minimum. The distribution network planning multi-objective optimization model with the maximum installed capacity of distributed generation is considered. For the multi-objective optimization model, the normalized weighting of different dimensionality functions is adopted in this paper. The multiobjective optimization problem is transformed into a single objective optimization solution. Finally, the application of particle swarm optimization algorithm in a practical distribution network planning is introduced. The simulation results show that the algorithm is feasible and effective in this field. The particle swarm optimization algorithm is used to optimize the multi-objective problem. The results of distribution network planning without and with distributed generation are compared and analyzed. The introduction of distributed generation brings some rationality and superiority to the optimization of distribution network, and it also proves that the distributed generation technology will bring more favorable influence when it enters the power system. At the same time, it also proves that distributed generation technology has a broad application prospect.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2008
【分類號】：TM715

【引證文獻】

相關(guān)期刊論文 前2條

1 鄭廣君;李杰;王立永;徐震;薛建杰;魯宗相;王陽;;分布式電源接入配電網(wǎng)的規(guī)劃研究[J];供用電;2011年04期

2 曾鳴;杜楠;張鯤;周飛;;基于多目標(biāo)靜態(tài)模糊模型的分布式電源規(guī)劃[J];電網(wǎng)技術(shù);2013年04期

相關(guān)碩士學(xué)位論文 前8條

1 王峰淵;配電網(wǎng)不停電管理的研究與實踐[D];浙江大學(xué);2010年

2 陳軍港;含分布式電源的配電網(wǎng)無功優(yōu)化償研究[D];青島大學(xué);2011年

3 杭銀麗;分布式電源對電網(wǎng)諧波分布的影響及配置研究[D];南京理工大學(xué);2010年

4 徐群;分布式電源并網(wǎng)對電能質(zhì)量的影響分析與評估[D];華北電力大學(xué);2012年

5 孫艷;輸配電網(wǎng)綜合無功補償方法的研究[D];東北大學(xué);2009年

6 王鵬;通遼地區(qū)新型多源配電網(wǎng)無功優(yōu)化系統(tǒng)[D];東北大學(xué);2010年

7 崔艷龍;含分布式發(fā)電的配電網(wǎng)規(guī)劃研究[D];西南交通大學(xué);2013年

8 馬慧卓;分布式電源接入配電網(wǎng)的優(yōu)化研究[D];華北電力大學(xué);2013年

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本文編號：1446874